
The main dataset used to train the machine learning models presented in this paper is the dataset released within the scope of the aforementioned SemEval-2021 Task 5: Toxic Spans Detection for English.
The dataset contains posts (comments) from the publicly available Civil Comments dataset [1]}. The organizers have randomly selected 10,000 posts, out of a total of 1,2 million posts in the original dataset. The offensive spans have been annotated using a crowd-annotation platform, employing three crowd-raters per post. By the time of writing this paper, only the trial set and the training set have been released and the gold labels for the test set have not yet been released. Therefore, training of the machine learning models presented in MUDES was done on the training set which we refer to as TSDTrain and the evaluation was conducted on the trial set which we refer to as TSDTrial set. In Table REF  we show four randomly selected examples from the TSDTrain dataset with their annotations.
